How can recommendation systems be designed to promote prosocial behavior and support collective well-being?

A recommendation system (or recommender system) is a class of machine learning that uses data to help predict, narrow down, and find what people are looking ... A recommender system aims to suggest relevant content or products to users that might be liked or purchased by them. Dec 9, 2022 ... Recommendation systems (RS) suggest the right item to the right user. It predicts the user's rating to an item and based on this rating RS ... Dec 20, 2024 ... While machine learning helps to process recommendation lists, it ... Over time, reinforcement learning ensures the algorithm learns ... The future of personalization and product recommendations will be heavily shaped by deep learning (DL) and its ability to predict the next natural item or ... May 3, 2022 ... Model-based systems use various data mining and machine learning algorithms to develop a model for predicting the user's rating for an unrated ... Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. 3 days ago ... Gained familiarity with various machine learning algorithms used in recommendation systems, such as matrix factorization and deep learning ... Feb 1, 2024 ... This paper tries to make a detailed overview of the existing machine learning algorithms in optimizing personalized education recommendation system. Most of these existing systems are user-based ratings where content-based and collaborative-based learning methods are used. These systems' irrationality is ...